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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Современные статистические исследования уровня и динамики благосостояния населения России

Вопросы статистики. 2022. Т. 29. № 1. С. 64–77.
Ponomarenko A.

This is a review article examining scientific publications of 2020–2021 on statistical studies of the level and dynamics of the well-being of the Russian population. The author does not discuss or comment on the results of relevant studies and research but systematizes the subject of the works. He also attempts to identify development trends in contemporary statistical studies in this area. The total number of articles related to statistics isn’t decreasing but even slightly growing. Most of them concern the use of statistical data and well-known methods of statistical analysis within specific economic research. The review includes articles on the interpretation of various indicators used for statistical assessment of well-being and comparison of related results, valuation of «shadow» incomes, the results of international, subnational and dynamic comparisons, statistical analysis of the level of well-being of specific groups of the population. The primary data sources most frequently used for conducting welfare research are indicated. The review also lists the core Russian journals that regularly publish articles on statistical topics and foreign journals in which Russian researchers published their papers during the period under review. The author specifically highlights the positive role of the journal «Voprosy Statistiki». Unfortunately, articles on the development of statistical methodology are rarely published. In other words, most of the works are not about the development of statistics as an independent branch of science but rather about the application of well-known statistical methods in the context of the development of other fields.

The author concludes that the revealed trend potentially weakens the position of domestic statistics amidst the «data revolution» and the increasing competition with other scientific disciplines. Finally, the paper formulates a number of questions, the consideration of which, according to the author, would help Russian statistics «find its place».

Research target: Mathematics
Language: Russian
Full text
DOI
Keywords: научные публикациианалитический обзорстатистическая методологияstatistical methodologyAnalytical ReviewScientific publicationsbibliography reviewwelfare assessmentоценка благосостояния
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